We performed a comparison between AWS Data Pipeline [EOL] and Informatica PowerCenter based on real PeerSpot user reviews.
Find out in this report how the two Cloud Data Integration solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The most valuable feature of the solution is that orchestration and development capabilities are easier with the tool."
"It is a stable solution...It is a scalable solution."
"We use Informatica PowerCenter to transfer the transitional database to and from the data warehouse. This is very efficient as it enables us to quickly find our data reports and the data, so we can build AI models."
"The setup is straightforward."
"It has very good monitoring and process monitoring."
"The reliability of the product and the way of orchestration of different services is valuable to us."
"The ability to scale through partitions helped us to improve the performance."
"The technical support for Informatica PowerCenter is good."
"Among all the solutions I have used, I found Informatica PowerCenter to be much more stable in terms of application."
"It's a very powerful tool you can use to load data, get data, do the drawing between the tables, and put into the packet in a very fast way."
"It's almost semi-automatic because you must review and approve code push, which works well. Still, we had many problems getting there during the deployment process, but we got there."
"The user-defined functions have shortcomings in AWS Data Pipeline."
"Its scalability can be improved. It is not scalable."
"I would like to see an improvement in the digital adoption."
"While on-premises is a better product, we really need to move to the cloud and need the cloud to be as robust as this product."
"The UI is a little outdated."
"Some of the conversions are done inside the product. We use work tables that are created by the engine itself, but the names of the work tables are very long, and they don't have any meaning, which makes it a bit difficult to understand and follow exactly what is happening inside."
"PowerCenter has three clients. I wish they would consolidate everything into one GUI, not three. Also, we had a persistent issue with the Informatica Developer tool but it was solved when we migrated to the newest one."
"There can be scalability issues. Huge amounts of data ingestion will impact performance."
"We need another tool for monitoring. It would be easier if all the features were consolidated into one tool."
AWS Data Pipeline [EOL] doesn't meet the minimum requirements to be ranked in Cloud Data Integration with 2 reviews while Informatica PowerCenter is ranked 3rd in Data Integration with 78 reviews. AWS Data Pipeline [EOL] is rated 8.0, while Informatica PowerCenter is rated 8.0. The top reviewer of AWS Data Pipeline [EOL] writes "A tool with great orchestration and development capabilities but needs to improve its user-defined functions". On the other hand, the top reviewer of Informatica PowerCenter writes "Stable, provides good support, and integrating it with other systems is very fast, but its pricing is expensive". AWS Data Pipeline [EOL] is most compared with AWS Database Migration Service, AWS Glue, Oracle Data Integrator (ODI), FME and Perspectium DataSync, whereas Informatica PowerCenter is most compared with Informatica Cloud Data Integration, Azure Data Factory, SSIS, Databricks and AWS Glue. See our AWS Data Pipeline [EOL] vs. Informatica PowerCenter report.
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